Association Data Display for Cross-Process Site Analysis

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Solution Overview

Problem

Current information collection and display systems in manufacturing industries face challenges such as high storage costs due to the need for large database capacities and difficulty in effectively analyzing site data across different departments, as they require storing all associated data and lack standardized data structures, making it hard to associate and display site data across series of manufacturing processes.

Innovation Solution

An information collection and display system that connects data generation devices with storage devices, utilizing an association data accumulation unit to store and search association data, an association data search unit to find associated information, and a user interface to display connection relations, allowing for the management of minimal necessary information and easy analysis of site data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If all associated data is stored as supplementary information in a database, then complete information availability is improved, but storage device capacity requirements and costs increase

Engineering Contradiction:
Improveinformation availabilityVSAvoidstorage device capacity
Core Design Contradiction:
Loss of informationVSQuantity of substance

Solution Approach 1:

The patent extracts only the necessary association data from the complete site data, storing minimal information in the database while keeping the full data available at its source. This selective extraction approach maintains information availability for associations without requiring storage of all supplementary information.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The system implements partial action by storing only the essential association data rather than all possible supplementary information. This partial storage approach provides sufficient information for data association and analysis while significantly reducing storage capacity requirements.

Inventive Principle:
Principle #16Partial or excessive action

2Adaptability or versatility

If a standardized management system is implemented across departments, then information sharing and overall process optimization are improved, but system complexity and standardization requirements increase

Engineering Contradiction:
Improveinformation sharing capabilityVSAvoidsystem standardization complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments the data management system into independent components: each department maintains its own data generation devices and storage, while a separate association data accumulation unit handles the integration. This segmentation enables information sharing without requiring complete system standardization across all departments.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The association data accumulation unit serves as an intermediary between different departmental data systems. It collects and manages the association data that links site data across departments, enabling information sharing without direct integration between departmental systems, thus reducing standardization complexity.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Loss of information

If detailed association data is stored for all site data, then data analysis capability is improved, but storage costs and maintenance costs increase

Engineering Contradiction:
Improvedata analysis capabilityVSAvoidmaintenance cost
Core Design Contradiction:
Loss of informationVSLoss of energy

Solution Approach 1:

The system extracts and stores only the critical association data elements needed for effective data analysis, rather than maintaining detailed information for all site data. This extraction approach preserves sufficient analytical capability while reducing the scope of data requiring maintenance.

Inventive Principle:
Principle #2Taking out (Extraction)

4Loss of information

If all site data from series of manufacturing processes is associated, then comprehensive analysis capability is improved, but data structure complexity and user understanding difficulty increase

Engineering Contradiction:
Improvecomprehensive analysis capabilityVSAvoiddata structure complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent extracts and stores only the essential association data that defines relationships between site data elements. This minimal data structure maintains comprehensive analysis capability by preserving the necessary links between data while avoiding the complexity of storing and managing all possible data relationships.

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentEP3534231B1Information collection and display system
Publication Date: 2023.11.08 HITACHI LTD
  • EP3534231B1 patent drawingFigure 1
  • EP3534231B1 patent drawingFigure 2
  • EP3534231B1 patent drawingFigure 3

AI summary

Disclosed is an information collection and display system in which a data generation device that generates site data and a transaction data accumulation unit that stores the site data are connected. The information collection and display system includes an association data accumulation unit that stores association data defining association of each of a plurality of pieces of information included in the site data; an association data search unit that searches for second information associated with first information included in the plurality of pieces of information, on the basis of the association data; and a user interface that displays a connection relation of the plurality of pieces of information associated by the association data. The association data search unit searches for the second information associated with the first information displayed on the user interface and displays the first information and the second information on the user interface with the connection relation of the plurality of pieces of information.